Optimistic Online Non-stochastic Control via FTRL

Apr 4, 2024·
Naram Mhaisen
Naram Mhaisen
,
George Iosifidis
Abstract
We design optimistic Follow-the-Regularized-Leader controllers for online non-stochastic control, providing improved performance under accurate predictions while preserving worst-case guarantees.
Type
Publication
In Proceedings of a 63rd Conference on Decision and Control (IEEE CDC)
publications
Online Learning Non-Stochastic Control Optimistic Learning
Naram Mhaisen
Authors
Naram Mhaisen
Postdoctoral Researcher

Naram is a Postdoctoral Researcher with the Networked Systems Group at the Faculty of Electrical Engineering, Mathematics, and Computer Science, TU Delft, The Netherlands. His research focuses on online learning techniques with applications in resource management across communication systems.

He received the B.Sc. degree in Computer Engineering from Qatar University in 2017 with the Order of Excellence award, and the M.Sc. degree with Distinction in Computing from Qatar University in 2020, supervised by Prof. Mohsen Guizani. He completed his Ph.D. at TU Delft in 2025, supervised by Dr. George Iosifidis, with a thesis on Optimistic Learning with Applications to Caching Networks.

His work has been recognized by the Microsoft Imagine Cup award (2017) and a NEC Europe Research Fellowship (2022).